Low Earth Orbit Spacecraft Slotting: Towards an Implementable Proposal by Lifson, Miles

“…The growth in the number of proposed low Earth orbit (LEO) satellites is driven primarily by large commercial communications constellations. …”
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Low Earth Orbit Stability Analysis Using Monte-Carlo Techniques by Appel, Grant F.

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Low Earth Orbit Slotting for Space Traffic Management Using Flower Constellation Theory by Arnas, David, Lifson, Miles, Linares, Richard, Avenda, Martin

“…This paper proposes the use of Flower Constellation (FC) theory to facilitate the design of a Low Earth Orbit (LEO) slotting system to avoid collisions between compliant satellites and optimize the available space. …”
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Definition of Low Earth Orbit Slotting Architectures Using 2D Lattice Flower Constellations by Arnas, David, Lifson, Miles, Linares, Richard, Avendaño, Martín E

“…© 2020 COSPAR This work proposes the use of 2D Lattice Flower Constellations (2D-LFCs) to facilitate the design of a Low Earth Orbit (LEO) slotting system to avoid collisions between compliant satellites and to optimize the available orbital volume. …”
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Real‐Time Thermospheric Density Estimation via Two‐Line Element Data Assimilation by Gondelach, David J, Linares, Richard

“…Inaccurate estimates of the thermospheric density are a major source of error in low Earth orbit prediction. In this work, we develop a reduced-order dynamic model for the thermospheric density by computing the main spatial modes of the atmosphere and deriving a linear model for the dynamics. …”
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Space Objects Maneuvering Prediction via Maximum Causal Entropy Inverse Reinforcement Learning by Doerr, Bryce G, Linares, Richard, Furfaro, Roberto

“…Lastly, this paper develops results for scenarios involving Low Earth Orbit (LEO) station-keeping and Geostationary Orbit (GEO) station-keeping.…”
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Evolutionary Debris Modeling of LEO and Cis-Lunar Space by Pasiecznik, Celina

“…With the advent of large satellite constellations in Low Earth Orbit (LEO) and planned return missions to the Moon, the risk created by fragmentation events in both LEO and cis-lunar space motivates an analysis of space debris evolution in these regions. …”
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Space-Based Sensor Tasking Using Deep Reinforcement Learning by Siew, Peng M., Jang, Daniel, Roberts, Thomas G., Linares, Richard

“…In this paper, we developed a deep reinforcement learning agent to task a space-based narrow-FOV sensor in low Earth orbit (LEO) using the proximal policy optimization algorithm. …”
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Reduced-Order Atmospheric Density Modeling for LEO Satellite Orbital Reentry Prediction by Clark, Nicolette LeAnn

“…Atmospheric density modeling and uncertainty quantification for fast and accurate orbit propagation are vital to drag force estimation for satellite reentry prediction and conjunction assessment in today's increasingly cluttered Low Earth Orbit (LEO) environment. Current density models can be computationally expensive, and often contain large errors, which make density modeling a leading cause of uncertainty in drag estimation. …”
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Atmospheric Density Uncertainty Quantification for Satellite Conjunction Assessment by Gondelach, David J, Linares, Richard

“…Errors in the atmospheric density are a major source of error in the prediction of low Earth orbits. Therefore, accurate estimation of the density and quantification of the uncertainty in the density is required. …”
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